The column went_on_backorder is a factor. Linear regression requires a numeric response variable. To use logistic regression, use glm in base R or a package such as vgam. Here’s a brief example: And you can predict your classes:
Change: to: You are trying to use the function sample (a closure) as a number (double)
How would one change this input (with the sequence: time, in, out, files): To this output (with the sequence: time, out, in, files)? Here’s the dummy R data:
Introduction What a “contrasts error” is has been well explained: you have a factor that only has one level (or less). But in reality this simple fact can be easily obscured because the data that are actually used for model fitting can be very different from what you’ve passed in. This happens when you have NA in … Read more
Change the last line to By default, the axes are aligned at the center of the text, even when rotated. When you rotate +/- 90 degrees, you usually want it to be aligned at the edge instead: The image above is from this blog post.
Consider using annotate() to place whatever text where you want at a given location on the plot. Factor variables, as in the clarity factor on the x-axis, have a number for each level, so you can use that number to locate the text. I assume date variables have the same usage.: EDIT after COMMENT For efficiency, you … Read more
So this is a very simple question, just can’t seem to figure it out. I’m running a logit using the glm function, but keep getting warning messages relating to the independent variable. They’re stored as factors and I’ve changed them to numeric but had no luck. I also coded them to 0/1 but that did … Read more
Use ?’%*%’ to get the documentation. %*% is matrix multiplication. For matrix multiplication, you need an m x n matrix times an n x p matrix.
You can use the ! operator to basically make any TRUE FALSE and every FALSE TRUE. so: EDIT: You can also make an operator yourself:
You need to convert your data frames into matrices before you do the assignment: You can actually build the array in one line with the unlist function applied to a list of the matrices you want to combine: